Meta Llama 3.1 8B Instruct Summarizer
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Meta Llama 3.1 8B Instruct Summarizer
Developed by raaec
A multilingual text summarization model fine-tuned based on Llama 3.1, supporting English, Spanish, and Chinese, utilizing an optimized Transformer architecture and enhanced output through RLHF technology.
Downloads 305
Release Time : 7/30/2024
Model Overview
A generative model specifically trained for text summarization tasks in English, Spanish, and Chinese, based on an optimized autoregressive Transformer architecture, with output quality improved through supervised fine-tuning and reinforcement learning from human feedback.
Model Features
Multilingual Support
Specially optimized for text summarization tasks in English, Spanish, and Chinese, with cross-lingual processing capabilities.
RLHF Optimization
Through reinforcement learning from human feedback, the model's outputs better align with human preferences for utility and safety.
Scalable Parameters
Offers three parameter scale versions (8B/70B/405B) to accommodate different computational resource requirements.
Model Capabilities
Multilingual Text Summarization
Long-text Comprehension
Semantic Compression
Use Cases
Content Generation
News Summarization
Automatically generates core content summaries from news articles
Preserves key information while compressing the original text by 60-70% in length
Knowledge Management
Technical Documentation Summarization
Extracts key points from lengthy technical documents
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